KNOWLEDGE-BASED-RADAR

SVM的Matlab程序，包括SVM工具箱等(SVM in Matlab procedures, including the SVM toolbox)

Fuzzy controller design and implementation in real time control

Commande vectoriel de la MSAP

可以实现十进制转换成任意字长的二进制。并又可以按照这个二进制转换成十进制。这个程序对于分析不同字长对于IIR数字滤波器和FIR滤波器的影响是非常有用的。(Decimal to convert any word length of the binary. And also in accordance with this binary to decimal conversion. This program is very useful for the analysis of the impact of different word length for the IIR digital filter and FIR filter.)

此matlab函数可以在ECEF和ECI坐标之中转转换地点和速率信息。 ，经测试可直接使用。 (This Matlab function can be transferred into the ECEF and ECI coordinate conversion location and rate information. Has been tested and can be used directly.)

Floyd算法适用于APSP(All Pairs Shortest Paths)，(APSP(All Pairs Shortest Paths)，)

PLS - DN是一个有限的牛顿为解决非退化的分段线性系统的算法。 PLS - DN的展品可证明半迭代 财产即在全球范围内的精确解在有限数量的迭代算法收敛。被证明是收敛速度 至少前终止线性。 广泛的算法是在我们的AISTATS 2011纸描述：“一个非退化的分段线性系统的有限牛顿算法”。此演示包重新运行 在解决非负最小二乘法（NNLS）问题上的三个稀疏的设计矩阵，从哈威尔波音收集（达夫等人，1989年）第4.2节的实验。 随着PLS - DN，此演示包建议实施五 其他NNLS求解：LCP_Fisher_Newton，LCP_Lemke，PQN，TRESNEI，和SCD (PLS- DN is a finite non-degenerate Newton to solve the piecewise linear system algorithms. PLS- DN exhibits semi-iterative property to prove that the exact solutions worldwide in a limited number of iterative convergence. Proved to be terminated before the linear convergence rate at least. A wide range of algorithms in our AISTATS 2011 paper describes: " a non-degenerate sub-linear systems with limited Newton algorithm." This demo package to re-run in the settlement of non-negative least squares (NNLS) on the design of the three sparse matrices from the Harwell Boeing collection (Duff et al, 1989) Section 4.2 of the experiment. With PLS- DN, this demonstrates the implementation of five other NNLS package proposed solution: LCP_Fisher_Newton, LCP_Lemke, PQN, TRESNEI, and SCD)

最优化潮流计算的matlab程序代码，可以试用于初级学者(Optimal power flow)

电力系统故障仿真计算源码和模型，可以用来仿真电网的单相、两相和三相故障(Source and model of power system fault simulation can be used to the simulation grid single-phase, two-phase and three-phase fault)

说明：  利用主成分分析法结合粒子群（PSO）优化极限学习机(ELM)进行工程费用估计预测(In this paper, principal component analysis (PCA) combined with particle swarm optimization (PSO) optimization extreme learning machine (ELM) is used to estimate and forecast engineering cost)